Author

Jens Meier

Professor f

Biography

Dr. Jens Meier is working under the Department of Anaesthesiology and Intensive Care from Kepler University Hospital which is located at Linz, Austria. He published 122 articles in many journals and the articles are informative and got good citations. His research interests are signalling processing, Machine Learning, Patient Blood Management.
Title
Cited by
Year
Prognostic factors associated with mortality risk and disease progression in 639 critically ill patients with COVID-19 in Europe: Initial report of the international RISC-19 …
PDW Garcia, T Fumeaux, P Guerci, DM Heuberger, J Montomoli, ...EClinicalMedicine 25, 2020202
213
2020
Essential role of patient blood management in a pandemic: a call for action
A Shander, SM Goobie, MA Warner, M Aapro, E Bisbe, ...Anesthesia and analgesia, 2020202
173
2020
Transfusion strategies in non-bleeding critically ill adults: a clinical practice guideline from the European Society of Intensive Care Medicine
AP Vlaar, S Oczkowski, S de Bruin, M Wijnberge, M Antonelli, C Aubron, ...Intensive Care Medicine 46, 673-696, 2020202
97
2020
Transfusion strategies in bleeding critically ill adults: a clinical practice guideline from the European Society of Intensive Care Medicine
APJ Vlaar, JC Dionne, S de Bruin, M Wijnberge, SJ Raasveld, ...Intensive Care Medicine 47, 1368-1392, 2021202
32
2021
ECG beat representation and delineation by means of variable projection
C Böck, P Kovács, P Laguna, J Meier, M HuemerIEEE transactions on biomedical engineering 68 (10), 2997-3008, 2021202
27
2021
Machine learning prediction of SARS-CoV-2 polymerase chain reaction results with routine blood tests
T Tschoellitsch, M Dünser, C Böck, K Schwarzbauer, J MeierLaboratory medicine 52 (2), 146-149, 2021202
26
2021
RBC transfusion triggers: is there anything new?
T Tomic Mahecic, M Dünser, J MeierTransfusion Medicine and Hemotherapy 47 (5), 361-369, 2020202
25
2020
Machine learning–based prediction of transfusion
A Mitterecker, A Hofmann, KM Trentino, A Lloyd, MF Leahy, ...Transfusion 60 (9), 1977-1986, 2020202
22
2020
Standards and best practice for acute normovolemic hemodilution: evidence-based consensus recommendations
A Shander, J Brown, M Licker, DC Mazer, J Meier, S Ozawa, PR Tibi, ...Journal of cardiothoracic and vascular anesthesia 34 (7), 1755-1760, 2020202
19
2020
Management of severe peri-operative bleeding: Guidelines from the European Society of Anaesthesiology and Intensive Care: Second update 2022
S Kietaibl, A Ahmed, A Afshari, P Albaladejo, C Aldecoa, G Barauskas, ...European Journal of Anaesthesiology| EJA 40 (4), 226-304, 2023202
19
2023
Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients
J Montomoli, L Romeo, S Moccia, M Bernardini, L Migliorelli, D Berardini, ...Journal of Intensive Medicine 1 (02), 110-116, 2021202
15
2021
Domain shifts in machine learning based Covid-19 diagnosis from blood tests
T Roland, C Böck, T Tschoellitsch, A Maletzky, S Hochreiter, J Meier, ...Journal of Medical Systems 46 (5), 23, 2022202
10
2022
qSOFA score poorly predicts critical progression in COVID-19 patients
S Heldt, M Neuböck, N Kainzbauer, G Shao, T Tschoellitsch, M Duenser, ...Wiener Medizinische Wochenschrift 172 (9-), 211-219, 2022202
10
2022
Recommendations from the international consensus conference on anemia management in surgical patients (ICCAMS)
A Shander, HL Corwin, J Meier, M Auerbach, E Bisbe, J Blitz, J Erhard, ...Annals of surgery 277 (4), 581, 2023202
10
2023
Machine learning-based risk profile classification of patients undergoing elective heart valve surgery
U Bodenhofer, B Haslinger-Eisterer, A Minichmayer, G Hermanutz, ...European Journal of Cardio-Thoracic Surgery 60 (6), 1378-1385, 2021202
9
2021
Artificial intelligence and machine learning in patient blood management: a scoping review
JM Meier, T TschoellitschAnesthesia & Analgesia 135 (3), 524-531, 2022202
8
2022
Inflammatory response in trauma patients: are there ways to decrease the inflammatory reaction?
C Schlömmer, J MeierCurrent Opinion in Anesthesiology 33 (2), 253-258, 2020202
7
2020
Transfusion in critical care: Past, present and future
A Shah, S Oczkowski, C Aubron, AP Vlaar, JC Dionne, ...Transfusion Medicine 30 (6), 418-432, 2020202
7
2020
Machine learning based COVID-19 diagnosis from blood tests with robustness to domain shifts
T Roland, C Böck, T Tschoellitsch, A Maletzky, S Hochreiter, J Meier, ...medRxiv, 2021.04. 06.2124997, 2021202
5
2021
Lifting hospital electronic health record data treasures: challenges and opportunities
A Maletzky, C Böck, T Tschoellitsch, T Roland, H Ludwig, S Thumfart, ...JMIR Medical Informatics 10 (10), e38557, 2022202
4
2022

Referred From: https://scholar.google.com/citations?user=BKyGST4AAAAJ&hl=en&oi=sra

Cited by
Citations 4264
h-index 26
i10-index 56
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